26 #ifndef MXNET_EXECUTOR_H_ 27 #define MXNET_EXECUTOR_H_ 29 #include <dmlc/base.h> 41 #if DMLC_USE_CXX11 == 0 42 #error "CXX11 was required for symbolic module" 61 virtual void Forward(
bool is_train) = 0;
70 virtual void PartialForward(
bool is_train,
int step,
int *step_left) = 0;
80 virtual void Backward(
const std::vector<NDArray> &head_grads,
bool is_train =
true) = 0;
85 virtual void Print(std::ostream &os)
const {}
90 virtual const std::vector<NDArray> &
outputs()
const = 0;
95 virtual const std::unordered_map<std::string, NDArray>&
in_arg_map()
const = 0;
100 virtual const std::unordered_map<std::string, NDArray>&
arg_grad_map()
const = 0;
105 virtual const std::unordered_map<std::string, NDArray>&
aux_state_map()
const = 0;
121 const bool allow_up_sizing,
123 const std::map<std::string, Context>& ctx_map,
124 const std::unordered_map<std::string, TShape>&
126 std::vector<NDArray>* in_args,
127 std::vector<NDArray>* arg_grads,
128 std::vector<NDArray>* aux_states) = 0;
145 const std::map<std::string, Context>& group2ctx,
146 const std::vector<NDArray> &in_args,
147 const std::vector<NDArray> &arg_grad_store,
148 const std::vector<OpReqType> &grad_req_type,
149 const std::vector<NDArray> &aux_states,
154 const std::map<std::string, Context>& group2ctx,
155 const std::vector<Context>& in_arg_ctxes,
156 const std::vector<Context>& arg_grad_ctxes,
157 const std::vector<Context>& aux_state_ctxes,
158 const std::unordered_map<std::string, TShape>& arg_shape_map,
159 const std::unordered_map<std::string, int>& arg_dtype_map,
160 const std::unordered_map<std::string, int>& arg_stype_map,
161 const std::vector<OpReqType>& grad_req_types,
162 const std::unordered_set<std::string>& param_names,
163 std::vector<NDArray>* in_args,
164 std::vector<NDArray>* arg_grads,
165 std::vector<NDArray>* aux_states,
166 std::unordered_map<std::string, NDArray>*
167 shared_data_arrays =
nullptr,
180 #endif // MXNET_EXECUTOR_H_ Executor of a computation graph. Executor can be created by Binding a symbol.
Definition: executor.h:53
virtual ~Executor()
destructor
Definition: executor.h:56
static Executor * SimpleBind(nnvm::Symbol symbol, const Context &default_ctx, const std::map< std::string, Context > &group2ctx, const std::vector< Context > &in_arg_ctxes, const std::vector< Context > &arg_grad_ctxes, const std::vector< Context > &aux_state_ctxes, const std::unordered_map< std::string, TShape > &arg_shape_map, const std::unordered_map< std::string, int > &arg_dtype_map, const std::unordered_map< std::string, int > &arg_stype_map, const std::vector< OpReqType > &grad_req_types, const std::unordered_set< std::string > ¶m_names, std::vector< NDArray > *in_args, std::vector< NDArray > *arg_grads, std::vector< NDArray > *aux_states, std::unordered_map< std::string, NDArray > *shared_data_arrays=nullptr, Executor *shared_exec=nullptr)
std::function< void(const char *, void *)> MonitorCallback
the prototype of user-defined monitor callback
Definition: executor.h:173
virtual void Backward(const std::vector< NDArray > &head_grads, bool is_train=true)=0
Perform a Backward operation of the Operator. This must be called after Forward. After this operation...
namespace of mxnet
Definition: base.h:118
static Executor * Bind(nnvm::Symbol symbol, const Context &default_ctx, const std::map< std::string, Context > &group2ctx, const std::vector< NDArray > &in_args, const std::vector< NDArray > &arg_grad_store, const std::vector< OpReqType > &grad_req_type, const std::vector< NDArray > &aux_states, Executor *shared_exec=NULL)
Create an operator by bind symbol with context and arguments. If user do not want to compute the grad...
virtual void Print(std::ostream &os) const
print the execution plan info to output stream.
Definition: executor.h:85
virtual const std::unordered_map< std::string, NDArray > & in_arg_map() const =0
get input argument map, key is arg name, value is arg's NDArray.
virtual const std::vector< NDArray > & outputs() const =0
get array of outputs in the executor.
virtual void SetMonitorCallback(const MonitorCallback &callback)
Install a callback to notify the completion of operation.
Definition: executor.h:177
virtual void Forward(bool is_train)=0
Perform a Forward operation of Operator After this operation, user can get the result by using functi...
virtual void PartialForward(bool is_train, int step, int *step_left)=0
Perform a Partial Forward operation of Operator. Only issue operation specified by step...
virtual const std::unordered_map< std::string, NDArray > & arg_grad_map() const =0
get input argument graident map, key is arg name, value is gradient's NDArray.
virtual const std::unordered_map< std::string, NDArray > & aux_state_map() const =0
get aux state map, key is arg name, value is aux state's NDArray.
Context information about the execution environment.
Definition: base.h:133
virtual Executor * Reshape(const bool partial_shaping, const bool allow_up_sizing, const Context &default_ctx, const std::map< std::string, Context > &ctx_map, const std::unordered_map< std::string, TShape > &provided_arg_shapes, std::vector< NDArray > *in_args, std::vector< NDArray > *arg_grads, std::vector< NDArray > *aux_states)=0
Return a new executor with the same symbol and shared memory, but different input/output shapes...